Data Visualization And Dashboards Using Tableau

Data Visualization And Dashboards Using Tableausdl2018-12-19T10:41:15+00:00

Program Overview

Data Visualization is an essential skill to effectively apply the principles of visual storytelling by building dashboards, to represent business data that help take quick and relevant action. Visualization is also very useful for data exploration and is a great tool kit for predictive modelers and machine learning engineers helping them investigate the data hierarchically. It is a highly marketable skill and is required for business analysts, programmers, managers, and data analysts/scientists to perform at their best and grow further in their respective careers. The BITA-SDL Data Visualization program builds on the Advanced Excel course and aims to make the participants become experts in using Tableau for data analysis, reporting and building dashboards. We would start from the first principles and learn enough to successfully become a Tableau qualified desktop associate. The course will include cases from multiple industries to help understand the application of visual analytics and Tableau in real world scenarios.

Course Coverage

Understanding Tableau

Know the Marks and Shelves to customize your viz

Data Manipulation using Tableau Prep

Introduction to Dashboards

Maps

Charts

Analytics

Calculations

LOD

Data Connections

Advanced Issues

Case Studies

Overview of MySQL (free)

Overview of dashboards in Power BI (free)

Course Outline

S.No

Basics of Tableau

Time (hrs)

1

Understanding Tableau

1

2

Marks

1

3

Shelves

1

4

Introduction to Dashboards

1

5

Introduction to Tableau Prep

4

Total

8

S.No

Intermediate Tableau

Time (hrs)

1

Joins

2

2

Blending

2

3

Charts and Maps

2

4

Dealing with Time

2

Total

8

S.No

Calculations

Time (hrs)

1

Aggregations

2

2

Data Manipulation – Strings, Logic, Time

2

3

Arithmetic Calculations and Hierarchies

2

4

Level of Details

2

Total

8

S.No

Dashboards

Time (hrs)

1

Dashboards and Storytelling

2

2

R Integration

2

3

Groups and Sets

2

4

Advanced Table Calculations

2

Total

8

S.No

Case Study

Time (hrs)

1

Case Study 1

2

2

Case Study 2

2

3

Case Study 3

2

4

Case Study 4

2

Total

8

S.No

Additional Free Topics

Time (hrs)

1

Case Study in MySQL – part 1

2

2

Case Study in MySQL – part 2

2

3

Case Study in Power BI – part 1

2

4

Case Study in Power BI – part 2

2

Total

8

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